In our previous article, we described what is R and why you should learn R. In this article, we’ll describe briefly how to install R and RStudio on Windows, MAC OSX and Linux platforms. RStudio is an integrated development environment for R that makes using R easier. It includes a console, code editor and tools for plotting.

To make things simple, we recommend to install first R and then RStudio.

1. R can be downloaded and installed on Windows, MAC OSX and Linux platforms from the Comprehensive R Archive Network (CRAN) webpage (http://cran.r-project.org/).

2. After installing R software, install also the RStudio software available at: http://www.rstudio.com/products/RStudio/.

Install R and RStudio on windows

Install R for windows

1. Download the latest version of R, for Windows, from CRAN at : https://cran.r-project.org/bin/windows/base/

2. Double-click on the file you just downloaded to install R

3. Cick ok –> Next –> Next –> Next …. (no need to change default installation parameters)

Install RStudio on Windows

• Download RStudio at : https://www.rstudio.com/products/rstudio/download/

Install R and RStudio for MAC OSX

1. Download the latest version of R, for MAC OSX, from CRAN at : https://cran.r-project.org/bin/macosx/

2. Double-click on the file you just downloaded to install R

3. Cick ok –> Next –> Next –> Next …. (no need to change default installation parameters)

4. Download and install the latest version of RStudio for MAC at: https://www.rstudio.com/products/rstudio/download/

Install R and RStudio on Linux

1. R can be installed on Ubuntu, using the following Bash script:

sudo apt-get install r-base

2. RStudio for Linux is available at https://www.rstudio.com/products/rstudio/download/

To install the latest version of R for linux, read this: Installing R on Ubuntu

Further ressources for installing R and RStudio

It is relatively simple to install R, but if you need further help you can try the following resources:

• Installing R on Windows
• Installing R on Mac
• Installing R on Ubuntu

Infos

This analysis has been performed using R software (ver. 3.2.3).